Evidence map›Paper›PMID 30918592›Full record

ArticleWorld journal of gastrointestinal oncology2019

Glycerophospholipids pathways and chromosomal instability in gastric cancer: Global lipidomics analysis.

Cheng-Yu Hung, Ta-Sen Yeh, Cheng-Kun Tsai, Ren-Chin Wu, Ying-Chieh Lai, Meng-Han Chiang, Kuan-Ying Lu, Chia-Ni Lin, Mei-Ling Cheng, Gigin Lin

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.5field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 19 citations in OpenAlex.

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  13. Applications of Lipidomics in Tumor Diagnosis and Therapy.Advances in experimental medicine and biology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Cheng-Yu HungMolecular Medicine Research Center, Chang Gung University, Taoyuan 333, Taiwan.
Ta-Sen YehDepartment of Surgery, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Cheng-Kun TsaiClinical Metabolomics Core Lab, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Ren-Chin WuDepartment of Pathology, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Ying-Chieh LaiClinical Metabolomics Core Lab, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Meng-Han ChiangClinical Metabolomics Core Lab, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Kuan-Ying LuClinical Metabolomics Core Lab, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Chia-Ni LinDepartment of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Mei-Ling ChengClinical Metabolomics Core Lab, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Gigin LinClinical Metabolomics Core Lab, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan 333, Taiwan.
Chang Gung University · TWLinkou Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBased on the breakthrough of genomics analysis, The Cancer Genome Atlas Research Group recently proposed an integrative genomic analysis, dividing gastric cancer (GC) into four subtypes, characterized by the chromosomal instability (CIN) status. However, the CIN status of GC is still vaguely characterized and lacking the valuable easy-to-use CIN markers to diagnosis in molecular and histological detection.

aimTo explore the associations of CIN with downstream lipidomics profiles.

methodsWe collected cancerous and noncancerous tissue samples from 18 patients with GC; the samples were divided into CIN and non-CIN types based on the system of The Cancer Genome Atlas Research Group and 409 sequenced oncogenes and tumor suppressor genes. We identified the lipidomics profiles of the GC samples and samples of their adjacent noncancerous tissues by using liquid chromatography-mass spectrometry. Furthermore, we selected leading metabolites based on variable importance in projection scores of > 1.0 and

resultsTwelve men and six women participated in this study; the participants had a median age of 67.5 years (range, 52-87 years) and were divided into CIN (

conclusionThe lipidomics profiles of GC samples were distinct from those of their adjacent noncancerous tissues. CIN status of GC is primarily associated with downstream lipidomics in the glycerophospholipid pathway.

Indexed as

Chromosomal instabilityGastric cancerGlycerophospholipidsLipidomics profileMetabolomics

Identifiers

PMID30918592
PMCPMC6425327
OpenAlexW2921318986

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.